Betreuer | Dr. Habib-ur-Rehman |
Professor | Prof. Dr.-Ing. Lars Wolf |
IBR Gruppe | CM (Prof. Wolf) |
Art | Studienarbeit |
Status | abgebrochen |
Overview: AODV (Ad-hoc On-demand Distance Vector routing) is a popular on demand routing protocol having recognition by IETF (RFC 3561). Reducing routing traffic is a key issue in AODV just as in other routing protocols for Ad-hoc Networks. In our previous work [1], we suggested an Accessibility Prediction scheme for AODV nodes which reduces the Normalized routing and MAC over head up to 50 % with almost 100 % packet delivery ratio. In our further analysis, we identified a few characteristics like growth of routing tables, DELETE_PERIOD value, and learning from repeated RREQs which can affect the performance of this scheme. We have intentions to explore/analyze all these characteristics to further enhance our accessibility prediction scheme. Project: The basic task of the student working on this project is to understand the Accessibility Prediction scheme in depth so that he/she has adequate knowledge about all the features and characteristics of this scheme. Then, he/she has to perform simulations and analyze the behavior of at least following features:
We are using the AODV module designed by Uppsala University (AODV-UU). Requirements: To accomplish this task, the student should have:
References
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Technische Universität Braunschweig
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38106 Braunschweig
Postfach: 38092 Braunschweig
Telefon: +49 (0) 531 391-0